AI Red Team Prompt Pack v1.0 — 100 LLM Security Testing Prompts
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100 Adversarial Prompts for LLM Security Testing
Stress-test AI applications with a curated collection of 100 prompts designed to evaluate how large language models respond to real-world adversarial inputs.
Whether you're auditing an AI product, performing security assessments, or researching LLM behavior, this resource helps you test common attack scenarios in a structured and repeatable way.
What's Included
100 testing prompts organized across 18 categories, including:
- Prompt Injection
- Indirect Prompt Injection
- Jailbreak Techniques
- System Prompt Extraction
- Multi-Turn Manipulation
- Context Window Poisoning
- Instruction Override
- Goal Hijacking
- Tool & Agent Hijacking
- Data Exfiltration Scenarios
- Memory & Embedding Poisoning
- Adversarial Suffix Attacks
- Constitutional AI Evaluation
- Multi-Modal Injection
- Supply Chain Prompt Attacks
- Alignment Probing
- Model Stress Testing
- Complex Attack Chains
Every prompt is documented with:
- Attack category
- Severity rating
- Security objective
- Success indicators
- Detection guidance
Bonus Resources
Alongside the prompt collection, you'll receive an LLM security reference spreadsheet containing organized injection vectors and testing scenarios mapped to the OWASP Top 10 for LLM Applications, making it easier to plan and document security assessments.
Who It's For
This resource is intended for:
- AI Security Engineers
- Red Teamers
- Penetration Testers
- LLM Application Developers
- AI Researchers
- Security Consultants
- Students learning AI security
Format
- Instant PDF download
- 24-page document
- Organized for quick navigation
- Compatible with any major LLM platform or AI application under test
Why This Resource?
Instead of collecting random prompts from forums or social media, you'll have a structured testing library that helps you evaluate multiple classes of LLM vulnerabilities consistently.
Use it to:
- Build repeatable security assessments
- Evaluate prompt defenses
- Test AI applications during development
- Support internal red team exercises
- Learn common adversarial testing techniques
Start identifying weaknesses before they become production issues.